Correlation Between Selective Insurance and LIFENET INSURANCE
Can any of the company-specific risk be diversified away by investing in both Selective Insurance and LIFENET INSURANCE at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Selective Insurance and LIFENET INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Selective Insurance Group and LIFENET INSURANCE CO, you can compare the effects of market volatilities on Selective Insurance and LIFENET INSURANCE and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Selective Insurance with a short position of LIFENET INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Selective Insurance and LIFENET INSURANCE.
Diversification Opportunities for Selective Insurance and LIFENET INSURANCE
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Selective and LIFENET is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Selective Insurance Group and LIFENET INSURANCE CO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LIFENET INSURANCE and Selective Insurance is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Selective Insurance Group are associated (or correlated) with LIFENET INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LIFENET INSURANCE has no effect on the direction of Selective Insurance i.e., Selective Insurance and LIFENET INSURANCE go up and down completely randomly.
Pair Corralation between Selective Insurance and LIFENET INSURANCE
Assuming the 90 days horizon Selective Insurance Group is expected to generate 0.47 times more return on investment than LIFENET INSURANCE. However, Selective Insurance Group is 2.11 times less risky than LIFENET INSURANCE. It trades about -0.09 of its potential returns per unit of risk. LIFENET INSURANCE CO is currently generating about -0.13 per unit of risk. If you would invest 9,100 in Selective Insurance Group on September 17, 2024 and sell it today you would lose (200.00) from holding Selective Insurance Group or give up 2.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Selective Insurance Group vs. LIFENET INSURANCE CO
Performance |
Timeline |
Selective Insurance |
LIFENET INSURANCE |
Selective Insurance and LIFENET INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Selective Insurance and LIFENET INSURANCE
The main advantage of trading using opposite Selective Insurance and LIFENET INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Selective Insurance position performs unexpectedly, LIFENET INSURANCE can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in LIFENET INSURANCE will offset losses from the drop in LIFENET INSURANCE's long position.Selective Insurance vs. Insurance Australia Group | Selective Insurance vs. Superior Plus Corp | Selective Insurance vs. SIVERS SEMICONDUCTORS AB | Selective Insurance vs. CHINA HUARONG ENERHD 50 |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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